Senior Product Manager – AI Division

Tango

Senior Product Manager at Tango Analytics owning AI product areas and partnering with AI Engineering team. Focused on defining features, evaluative criteria, and customer-centric design principles.

Posted 7/29/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for AI and ML features within B2B SaaS environments, focusing on defining product requirements, evaluation frameworks, and trust surfaces for enterprise customers. Proficient in translating technical concepts into actionable product decisions while ensuring compliance and customer outcomes.

Highest-signal resume keywords

Product ManagementAI Engineering CollaborationEnterprise Trust Surface DesignLLM-Specific Product PatternsB2B SaaS Experience

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Applicant Tracking System Keywords

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Hard Skills

AI Feature DevelopmentAcceptance Criteria WritingEvaluation FrameworksHuman-in-the-Loop DesignData Workflow ManagementModel Behavior UnderstandingLatency Requirements DefinitionCompliance StandardsProduct JudgmentTrust Surface Design

Soft Skills

Stakeholder CommunicationTeam CollaborationDecision-Making

Tools & Technologies

AI ToolsSaaS Platforms

Industry Keywords

B2B SaaSEnterprise AICompliance ObligationsAudit TrailsConfidence DisclosureCitation StandardsExplainabilityRAGPrompt VersioningEvaluation Methodology

About the role

Key responsibilities & impact

Own AI product areas within Tango's intelligence layer: define what to build, write acceptance criteria including accuracy thresholds and human-in-the-loop requirements, and ship features with the AI Engineering team.
Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation standards. Your evaluation framework ships before the feature does.
Design trust surfaces for enterprise customers: confidence disclosure, citation standards, audit trails, and explainability are product decisions you own.
Run discovery with enterprise customers through design partner conversations, usage data analysis, and competitive landscape tracking. Your discovery changes what gets built.
Frame AI investment in customer outcome terms: retention impact, expansion signal, time-to-value. Be clear about what's not on the roadmap and defend the decision.
Define enterprise-grade AI guardrails: confidence thresholds, latency requirements, and human-in-the-loop triggers appropriate for customers with compliance obligations.
Continuously evolve organizational and engineering practices to support and grow the Tango intelligence layer.

Requirements

What you’ll need

5+ years in product management with shipped and validated AI or ML features in a B2B SaaS environment.
Proven ability to partner with AI Engineering as a peer; earns technical credibility through product judgment; understands model behavior well enough to write meaningful acceptance criteria and constraints.
Track record of defining "ready to ship" before Engineering starts building.
Evaluation criteria, guardrail requirements, and trust surface design are PM-owned decisions.
Comfortable operating within a team where a director sets the platform strategy while you own full product area decisions and execution.
Fluent in LLM-specific product patterns: RAG, evaluation frameworks, prompt versioning, latency/cost trade-offs, and human-in-the-loop design.
Keeps abreast of current best practices and developments.
Uses AI tools actively in daily workflow as demonstrated practice, not theoretical interest.
Experience designing enterprise trust surfaces: confidence disclosure, citation standards, explainability, and audit trails for users with compliance obligations.
Can translate dense technical concepts such as model behavior, evaluation methodology, and infrastructure constraints into clear product decisions and crisp stakeholder communication.
Enterprise SaaS experience with complex data workflows, platform infrastructure, or multi-tenant environments strongly preferred.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.

Benefits

Comp & perks

Competitive Compensation
Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being.
Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance.
Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.